Statistical Characterization of Solar Irradiance Variability and Its Effect on Step Voltage Regulators
Paper
Paper/Presentation Title | Statistical Characterization of Solar Irradiance Variability and Its Effect on Step Voltage Regulators |
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Presentation Type | Paper |
Authors | Cui, Yi (Author), Bai, Feifei (Author), Liu, Yilu (Author) and Smith, David (Author) |
Journal or Proceedings Title | Proceedings of the 2019 IEEE PES Innovative Smart Grid Technologies Asia (ISGT) |
Number of Pages | 6 |
Year | 2019 |
Place of Publication | Chengdu, China |
ISBN | 9781728135205 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISGT-Asia.2019.8881275 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/8881275 |
Conference/Event | 2019 IEEE PES Innovative Smart Grid Technologies Asia (ISGT) |
Event Details | 2019 IEEE PES Innovative Smart Grid Technologies Asia (ISGT) Event Date 21 to end of 24 May 2019 Event Location Chengdu, China |
Abstract | This paper examines the acceptability of two variability metrics, i.e., universal variability index (UVI) and natural variability index (NVI) for quantifying the variation of solar irradiance and PV power output under multiple timescales. Statistical characterization of irradiance ramp rate is investigated using high resolution irradiance measurement data of a PV plant over a considerably long period. The impact of solar irradiance and PV power variability on the tap change operations of step voltage regulators (SVR) is also analyzed. It demonstrates both UVI and NVI can be used as quantitative metrics for irradiance variation. A strong linear relationship is observed between UVI and NVI of irradiance ramp rate. Compared with UVI, NVI is more easily to be implemented due to its direct derivation from the statistical nature of the measured irradiance and PV power output. The results indicate that NVI has the potential to estimate the number of tap change operations of SVR by considering the operational strategies of SVR and proper selection of timescales. |
Keywords | ramps; Solar variability; statistical analysis; variability metrics |
ANZSRC Field of Research 2020 | 400808. Photovoltaic power systems |
400803. Electrical energy generation (incl. renewables, excl. photovoltaics) | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Tennessee, United States |
University of Queensland | |
Tennessee Valley Authority, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7w19/statistical-characterization-of-solar-irradiance-variability-and-its-effect-on-step-voltage-regulators
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